claude-opus-4-1@20250805
vertex_ai-anthropic_models · chat model
claude-opus-4-1@20250805 is listed here as a chat model from vertex_ai-anthropic_models. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$15.0000 / 1M tokens
Output
$75.0000 / 1M tokens
Cached input
$1.5000 / 1M tokens
Context
32.0K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $15.0000 / 1M tokens |
| Output | $75.0000 / 1M tokens |
| Cached input | $1.5000 / 1M tokens |
| Cache write | $18.7500 / 1M tokens |
| Embedding | $15.0000 / 1M tokens |
| Batch input | $7.5000 / 1M tokens |
| Batch output | $37.5000 / 1M tokens |
Token limits
Context window
32.0K
Max input tokens
200.0K
Max output tokens
32.0K
Max tokens
32.0K
Capabilities
| Capability | Supported |
|---|---|
| Vision | ✅ |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| SWE-bench Verified | 72.5% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| Terminal-Bench | 43.2% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| GPQA Diamond | 74.9% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| MMMLU | 87.4% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
| MMMU | 73.7% | score | Base model: Claude Opus 4 (Claude Opus 4) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-opus-4-1@20250805 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 32.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-3-opus@20240229 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 4.1K | Same provider Overall 87% |
| claude-4-opus vercel_ai_gateway | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 32.0K | Text + image covered Overall 86% |
| claude-opus-4@20250514 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext pdf
Output: text | VisionFunction callingTool choice | 32.0K | Same provider Overall 84% |
| anthropic.claude-opus-4-1-20250805-v1:0 bedrock_converse | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext pdf
Output: text | VisionFunction callingTool choice | 32.0K | Text + image covered Overall 76% |
| anthropic.claude-opus-4-20250514-v1:0 bedrock_converse | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext pdf
Output: text | VisionFunction callingTool choice | 32.0K | Text + image covered Overall 76% |
| claude-opus-4-1 azure_ai | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext pdf
Output: text | VisionFunction callingTool choice | 32.0K | Text + image covered Overall 76% |
| claude-4-opus-20250514 Anthropic | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext pdf
Output: text | VisionFunction callingTool choice | 32.0K | Text + image covered Overall 76% |
| v0-1.0-md vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 32.0K | Text + image covered Overall 76% |
| v0-1.5-md vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 32.8K | Text + image covered Overall 76% |
| grok-2-vision vercel_ai_gateway | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 32.8K | Text + image covered Overall 74% |
| anthropic.claude-3-opus-20240229-v1:0 Bedrock | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 4.1K | Text + image covered Overall 73% |
| gpt-4-turbo vercel_ai_gateway | In $10.0000 / 1M tokens Out $30.0000 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 4.1K | Text + image covered Overall 69% |
| claude-3-opus-20240229 Anthropic | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 4.1K | Text + image covered Overall 69% |
| claude-3-haiku@20240307 vertex_ai-anthropic_models | In $0.2500 / 1M tokens Out $1.2500 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 4.1K | Same provider Overall 67% |
| claude-3-5-sonnet@20240620 vertex_ai-anthropic_models | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | codeimagetext pdf
Output: text | VisionFunction callingTool choice | 8.2K | Same provider Overall 67% |
| claude-sonnet-4@20250514 vertex_ai-anthropic_models | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | codeimagetext pdf
Output: text | VisionFunction callingTool choice | 64.0K | Same provider Overall 61% |
| claude-opus-4-1 vertex_ai-anthropic_models | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens | codeimagetext
Output: unknown | VisionFunction callingTool choice | 32.0K | Same provider Overall 60% Missing text, image |
| Llama-3.2-90B-Vision-Instruct azure_ai | In $2.0400 / 1M tokens Out $2.0400 / 1M tokens | codeimagetext
Output: text | VisionFunction callingTool choice | 2.0K | Text + image covered Overall 59% |
| claude-3-5-haiku@20241022 vertex_ai-anthropic_models | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens | codeimagetext pdf
Output: text | Function callingTool choice | 8.2K | Same provider Overall 58% |
| claude-3-7-sonnet@20250219 vertex_ai-anthropic_models | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | codeimagetext pdf
Output: text | VisionFunction callingTool choice | 8.2K | Same provider Overall 57% |
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